a woman is sitting in a kitchen with a cake
a man in a suit is standing in front of a car
a flock of birds flying over a lake
a man and woman are standing in front of a bar
a man sitting at a table eating a doughnut
a woman and a man standing in front of a wine glass
a young boy is holding up a large donut
a fire hydrant in a field of grass
a group of people standing around a large room
a bunch of different colored vases on display
a group of three urinals in a bathroom
a stop light is shown on a cloudy day
a man in a suit and tie standing in front of a boat
a man sitting on a couch holding a wii remote
The name of this entry comes from the MS COCO dataset used by the neuraltalk2 model behind @neural_tv. This dataset is used to train/test many computer vision algorithms. COCObard is intended as a tongue-in-cheek exploration of what happens when we stretch how we teach machines to "see" across domains.
Website: https://ryanfb.github.io/cocobard/ Code: https://github.com/ryanfb/cocobard
Example:
Explanation: COCObard is my contribution to NaPoGenMo 2017. It uses a dataset of my neural_tv twitter bot's utterances with the Datamuse API to generate Shakespearean rhyme scheme sonnets of the form
ABAB CDCD EFEF GG.The name of this entry comes from the MS COCO dataset used by the neuraltalk2 model behind @neural_tv. This dataset is used to train/test many computer vision algorithms. COCObard is intended as a tongue-in-cheek exploration of what happens when we stretch how we teach machines to "see" across domains.